[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-langchain-deepagents-thread-inspector":3,"mdc-5ipzlo-key":40,"related-repo-langchain-deepagents-thread-inspector":427,"related-org-langchain-deepagents-thread-inspector":528},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":24,"repoUrl":25,"updatedAt":26,"license":27,"forks":28,"topics":29,"repo":35,"sourceUrl":38,"mdContent":39},"deepagents-thread-inspector","inspect local Deep Agents conversation threads","Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse ~\u002F.deepagents\u002F.state\u002Fsessions.db and a thread UUID or prefix.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"langchain","LangChain","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Flangchain.png","langchain-ai",[13,15,18,21],{"name":9,"slug":8,"type":14},"tag",{"name":16,"slug":17,"type":14},"Agents","agents",{"name":19,"slug":20,"type":14},"Debugging","debugging",{"name":22,"slug":23,"type":14},"SQLite","sqlite",26592,"https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fdeepagents","2026-07-24T06:08:57.102689","MIT",3728,[30,31,8,32,33,34],"ai","deepagents","langgraph","python","typescript",{"repoUrl":25,"stars":24,"forks":28,"topics":36,"description":37},[30,31,8,32,33,34],"The batteries-included agent harness.","https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fdeepagents\u002Ftree\u002FHEAD\u002Flibs\u002Fcode\u002Fdeepagents_code\u002Fbuilt_in_skills\u002Fdeepagents-thread-inspector","---\nname: deepagents-thread-inspector\ndescription: Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse ~\u002F.deepagents\u002F.state\u002Fsessions.db and a thread UUID or prefix.\nlicense: MIT\ncompatibility: designed for deepagents-code\n---\n\n# Deep Agents Thread Inspector\n\nIf LangSmith tooling is available for a traced thread, prefer it. Otherwise, use `scripts\u002Finspect_sessions.py` instead of manually decoding database blobs. It opens the database read-only and deserializes the root message channel with LangGraph's strict MsgPack loader — reading the materialized messages from the latest checkpoint, or replaying writes in checkpoint order when that fast path is unavailable — and emits JSON.\n\n## Inspect local state\n\nResolve `SKILL_DIR` to the directory containing this `SKILL.md`; do not assume a user, project, or installation-specific location. Start with the smallest useful view:\n\n```bash\npython3 \"$SKILL_DIR\u002Fscripts\u002Finspect_sessions.py\" THREAD_ID --mode latest-turn\n```\n\nA unique thread-ID prefix is accepted. Select another view when needed:\n\n```bash\npython3 \"$SKILL_DIR\u002Fscripts\u002Finspect_sessions.py\" THREAD_ID --mode summary\npython3 \"$SKILL_DIR\u002Fscripts\u002Finspect_sessions.py\" THREAD_ID --mode transcript\n```\n\nUse `--include-metadata` only when run, repository, model, checkpoint, or LangGraph metadata matters. Use `--max-content N` to raise or lower the default 4,000-character limit per message, tool result, or tool-call argument.\n\nIf the user does not know the ID, list recent threads first:\n\n```bash\npython3 \"$SKILL_DIR\u002Fscripts\u002Finspect_sessions.py\" --list 20\n```\n\nPass `--db PATH` only for a non-default session store. The default is `~\u002F.deepagents\u002F.state\u002Fsessions.db`; `DEEPAGENTS_SESSIONS_DB` can override it.\n\n## Explain the result\n\nSynthesize the JSON rather than pasting it verbatim.\n\n- State the user's request, the assistant's conclusion, and significant tool actions or failures.\n- Distinguish stored facts from your interpretation.\n- For the latest turn, describe only the final user message and subsequent activity unless earlier context is required to make it understandable.\n- Mention truncation when a relevant record has `content_truncated` or `args_truncated` set.\n- Surface reconstruction problems when the result includes a top-level `warnings` array (for example, a corrupt checkpoint, a skipped write, or malformed metadata) so conclusions are appropriately hedged.\n- Do not expose unrelated credentials, tokens, personal data, or hidden reasoning that may appear in local records.\n\n## Safety\n\nKeep inspection read-only. Do not deserialize an untrusted database: checkpoint deserialization is intended for trusted local Deep Agents state. Do not mutate or delete session rows unless the user separately and explicitly requests it.\n",{"data":41,"body":43},{"name":4,"description":6,"license":27,"compatibility":42},"designed for deepagents-code",{"type":44,"children":45},"root",[46,55,70,77,98,159,164,244,265,270,311,340,346,351,410,416,421],{"type":47,"tag":48,"props":49,"children":51},"element","h1",{"id":50},"deep-agents-thread-inspector",[52],{"type":53,"value":54},"text","Deep Agents Thread Inspector",{"type":47,"tag":56,"props":57,"children":58},"p",{},[59,61,68],{"type":53,"value":60},"If LangSmith tooling is available for a traced thread, prefer it. Otherwise, use ",{"type":47,"tag":62,"props":63,"children":65},"code",{"className":64},[],[66],{"type":53,"value":67},"scripts\u002Finspect_sessions.py",{"type":53,"value":69}," instead of manually decoding database blobs. It opens the database read-only and deserializes the root message channel with LangGraph's strict MsgPack loader — reading the materialized messages from the latest checkpoint, or replaying writes in checkpoint order when that fast path is unavailable — and emits JSON.",{"type":47,"tag":71,"props":72,"children":74},"h2",{"id":73},"inspect-local-state",[75],{"type":53,"value":76},"Inspect local state",{"type":47,"tag":56,"props":78,"children":79},{},[80,82,88,90,96],{"type":53,"value":81},"Resolve ",{"type":47,"tag":62,"props":83,"children":85},{"className":84},[],[86],{"type":53,"value":87},"SKILL_DIR",{"type":53,"value":89}," to the directory containing this ",{"type":47,"tag":62,"props":91,"children":93},{"className":92},[],[94],{"type":53,"value":95},"SKILL.md",{"type":53,"value":97},"; do not assume a user, project, or installation-specific location. Start with the smallest useful view:",{"type":47,"tag":99,"props":100,"children":105},"pre",{"className":101,"code":102,"language":103,"meta":104,"style":104},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","python3 \"$SKILL_DIR\u002Fscripts\u002Finspect_sessions.py\" THREAD_ID --mode latest-turn\n","bash","",[106],{"type":47,"tag":62,"props":107,"children":108},{"__ignoreMap":104},[109],{"type":47,"tag":110,"props":111,"children":114},"span",{"class":112,"line":113},"line",1,[115,121,127,133,139,144,149,154],{"type":47,"tag":110,"props":116,"children":118},{"style":117},"--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B",[119],{"type":53,"value":120},"python3",{"type":47,"tag":110,"props":122,"children":124},{"style":123},"--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF",[125],{"type":53,"value":126}," \"",{"type":47,"tag":110,"props":128,"children":130},{"style":129},"--shiki-light:#90A4AE;--shiki-default:#EEFFFF;--shiki-dark:#BABED8",[131],{"type":53,"value":132},"$SKILL_DIR",{"type":47,"tag":110,"props":134,"children":136},{"style":135},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[137],{"type":53,"value":138},"\u002Fscripts\u002Finspect_sessions.py",{"type":47,"tag":110,"props":140,"children":141},{"style":123},[142],{"type":53,"value":143},"\"",{"type":47,"tag":110,"props":145,"children":146},{"style":135},[147],{"type":53,"value":148}," THREAD_ID",{"type":47,"tag":110,"props":150,"children":151},{"style":135},[152],{"type":53,"value":153}," --mode",{"type":47,"tag":110,"props":155,"children":156},{"style":135},[157],{"type":53,"value":158}," latest-turn\n",{"type":47,"tag":56,"props":160,"children":161},{},[162],{"type":53,"value":163},"A unique thread-ID prefix is accepted. Select another view when needed:",{"type":47,"tag":99,"props":165,"children":167},{"className":101,"code":166,"language":103,"meta":104,"style":104},"python3 \"$SKILL_DIR\u002Fscripts\u002Finspect_sessions.py\" THREAD_ID --mode summary\npython3 \"$SKILL_DIR\u002Fscripts\u002Finspect_sessions.py\" THREAD_ID --mode transcript\n",[168],{"type":47,"tag":62,"props":169,"children":170},{"__ignoreMap":104},[171,207],{"type":47,"tag":110,"props":172,"children":173},{"class":112,"line":113},[174,178,182,186,190,194,198,202],{"type":47,"tag":110,"props":175,"children":176},{"style":117},[177],{"type":53,"value":120},{"type":47,"tag":110,"props":179,"children":180},{"style":123},[181],{"type":53,"value":126},{"type":47,"tag":110,"props":183,"children":184},{"style":129},[185],{"type":53,"value":132},{"type":47,"tag":110,"props":187,"children":188},{"style":135},[189],{"type":53,"value":138},{"type":47,"tag":110,"props":191,"children":192},{"style":123},[193],{"type":53,"value":143},{"type":47,"tag":110,"props":195,"children":196},{"style":135},[197],{"type":53,"value":148},{"type":47,"tag":110,"props":199,"children":200},{"style":135},[201],{"type":53,"value":153},{"type":47,"tag":110,"props":203,"children":204},{"style":135},[205],{"type":53,"value":206}," summary\n",{"type":47,"tag":110,"props":208,"children":210},{"class":112,"line":209},2,[211,215,219,223,227,231,235,239],{"type":47,"tag":110,"props":212,"children":213},{"style":117},[214],{"type":53,"value":120},{"type":47,"tag":110,"props":216,"children":217},{"style":123},[218],{"type":53,"value":126},{"type":47,"tag":110,"props":220,"children":221},{"style":129},[222],{"type":53,"value":132},{"type":47,"tag":110,"props":224,"children":225},{"style":135},[226],{"type":53,"value":138},{"type":47,"tag":110,"props":228,"children":229},{"style":123},[230],{"type":53,"value":143},{"type":47,"tag":110,"props":232,"children":233},{"style":135},[234],{"type":53,"value":148},{"type":47,"tag":110,"props":236,"children":237},{"style":135},[238],{"type":53,"value":153},{"type":47,"tag":110,"props":240,"children":241},{"style":135},[242],{"type":53,"value":243}," transcript\n",{"type":47,"tag":56,"props":245,"children":246},{},[247,249,255,257,263],{"type":53,"value":248},"Use ",{"type":47,"tag":62,"props":250,"children":252},{"className":251},[],[253],{"type":53,"value":254},"--include-metadata",{"type":53,"value":256}," only when run, repository, model, checkpoint, or LangGraph metadata matters. Use ",{"type":47,"tag":62,"props":258,"children":260},{"className":259},[],[261],{"type":53,"value":262},"--max-content N",{"type":53,"value":264}," to raise or lower the default 4,000-character limit per message, tool result, or tool-call argument.",{"type":47,"tag":56,"props":266,"children":267},{},[268],{"type":53,"value":269},"If the user does not know the ID, list recent threads first:",{"type":47,"tag":99,"props":271,"children":273},{"className":101,"code":272,"language":103,"meta":104,"style":104},"python3 \"$SKILL_DIR\u002Fscripts\u002Finspect_sessions.py\" --list 20\n",[274],{"type":47,"tag":62,"props":275,"children":276},{"__ignoreMap":104},[277],{"type":47,"tag":110,"props":278,"children":279},{"class":112,"line":113},[280,284,288,292,296,300,305],{"type":47,"tag":110,"props":281,"children":282},{"style":117},[283],{"type":53,"value":120},{"type":47,"tag":110,"props":285,"children":286},{"style":123},[287],{"type":53,"value":126},{"type":47,"tag":110,"props":289,"children":290},{"style":129},[291],{"type":53,"value":132},{"type":47,"tag":110,"props":293,"children":294},{"style":135},[295],{"type":53,"value":138},{"type":47,"tag":110,"props":297,"children":298},{"style":123},[299],{"type":53,"value":143},{"type":47,"tag":110,"props":301,"children":302},{"style":135},[303],{"type":53,"value":304}," --list",{"type":47,"tag":110,"props":306,"children":308},{"style":307},"--shiki-light:#F76D47;--shiki-default:#F78C6C;--shiki-dark:#F78C6C",[309],{"type":53,"value":310}," 20\n",{"type":47,"tag":56,"props":312,"children":313},{},[314,316,322,324,330,332,338],{"type":53,"value":315},"Pass ",{"type":47,"tag":62,"props":317,"children":319},{"className":318},[],[320],{"type":53,"value":321},"--db PATH",{"type":53,"value":323}," only for a non-default session store. The default is ",{"type":47,"tag":62,"props":325,"children":327},{"className":326},[],[328],{"type":53,"value":329},"~\u002F.deepagents\u002F.state\u002Fsessions.db",{"type":53,"value":331},"; ",{"type":47,"tag":62,"props":333,"children":335},{"className":334},[],[336],{"type":53,"value":337},"DEEPAGENTS_SESSIONS_DB",{"type":53,"value":339}," can override it.",{"type":47,"tag":71,"props":341,"children":343},{"id":342},"explain-the-result",[344],{"type":53,"value":345},"Explain the result",{"type":47,"tag":56,"props":347,"children":348},{},[349],{"type":53,"value":350},"Synthesize the JSON rather than pasting it verbatim.",{"type":47,"tag":352,"props":353,"children":354},"ul",{},[355,361,366,371,392,405],{"type":47,"tag":356,"props":357,"children":358},"li",{},[359],{"type":53,"value":360},"State the user's request, the assistant's conclusion, and significant tool actions or failures.",{"type":47,"tag":356,"props":362,"children":363},{},[364],{"type":53,"value":365},"Distinguish stored facts from your interpretation.",{"type":47,"tag":356,"props":367,"children":368},{},[369],{"type":53,"value":370},"For the latest turn, describe only the final user message and subsequent activity unless earlier context is required to make it understandable.",{"type":47,"tag":356,"props":372,"children":373},{},[374,376,382,384,390],{"type":53,"value":375},"Mention truncation when a relevant record has ",{"type":47,"tag":62,"props":377,"children":379},{"className":378},[],[380],{"type":53,"value":381},"content_truncated",{"type":53,"value":383}," or ",{"type":47,"tag":62,"props":385,"children":387},{"className":386},[],[388],{"type":53,"value":389},"args_truncated",{"type":53,"value":391}," set.",{"type":47,"tag":356,"props":393,"children":394},{},[395,397,403],{"type":53,"value":396},"Surface reconstruction problems when the result includes a top-level ",{"type":47,"tag":62,"props":398,"children":400},{"className":399},[],[401],{"type":53,"value":402},"warnings",{"type":53,"value":404}," array (for example, a corrupt checkpoint, a skipped write, or malformed metadata) so conclusions are appropriately hedged.",{"type":47,"tag":356,"props":406,"children":407},{},[408],{"type":53,"value":409},"Do not expose unrelated credentials, tokens, personal data, or hidden reasoning that may appear in local records.",{"type":47,"tag":71,"props":411,"children":413},{"id":412},"safety",[414],{"type":53,"value":415},"Safety",{"type":47,"tag":56,"props":417,"children":418},{},[419],{"type":53,"value":420},"Keep inspection read-only. Do not deserialize an untrusted database: checkpoint deserialization is intended for trusted local Deep Agents state. Do not mutate or delete session rows unless the user separately and explicitly requests it.",{"type":47,"tag":422,"props":423,"children":424},"style",{},[425],{"type":53,"value":426},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":428,"total":527},[429,448,459,476,489,496,512],{"slug":430,"name":430,"fn":431,"description":432,"org":433,"tags":434,"stars":24,"repoUrl":25,"updatedAt":447},"analyze-market","perform market analysis and size estimation","Perform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[435,438,441,444],{"name":436,"slug":437,"type":14},"Marketing","marketing",{"name":439,"slug":440,"type":14},"Research","research",{"name":442,"slug":443,"type":14},"Sales","sales",{"name":445,"slug":446,"type":14},"Strategy","strategy","2026-04-18T04:46:54.557115",{"slug":449,"name":449,"fn":450,"description":451,"org":452,"tags":453,"stars":24,"repoUrl":25,"updatedAt":458},"arxiv-search","search arXiv for academic research papers","Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[454,455],{"name":439,"slug":440,"type":14},{"name":456,"slug":457,"type":14},"Search","search","2026-05-13T06:11:01.203061",{"slug":460,"name":460,"fn":461,"description":462,"org":463,"tags":464,"stars":24,"repoUrl":25,"updatedAt":475},"blog-post","write SEO-optimized blog posts","Write long-form blog posts with SEO optimization and clear structure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[465,468,469,472],{"name":466,"slug":467,"type":14},"Content Creation","content-creation",{"name":436,"slug":437,"type":14},{"name":470,"slug":471,"type":14},"SEO","seo",{"name":473,"slug":474,"type":14},"Writing","writing","2026-04-15T05:00:54.149813",{"slug":477,"name":477,"fn":478,"description":479,"org":480,"tags":481,"stars":24,"repoUrl":25,"updatedAt":488},"competitor-analysis","analyze competitors and market positioning","Analyze competitors in a given market segment. Trigger on: competitive landscape, competitor analysis, market comparison, competitive positioning.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[482,485,486,487],{"name":483,"slug":484,"type":14},"Competitive Intelligence","competitive-intelligence",{"name":436,"slug":437,"type":14},{"name":439,"slug":440,"type":14},{"name":445,"slug":446,"type":14},"2026-04-18T04:46:55.79306",{"slug":4,"name":4,"fn":5,"description":6,"org":490,"tags":491,"stars":24,"repoUrl":25,"updatedAt":26},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[492,493,494,495],{"name":16,"slug":17,"type":14},{"name":19,"slug":20,"type":14},{"name":9,"slug":8,"type":14},{"name":22,"slug":23,"type":14},{"slug":497,"name":497,"fn":498,"description":499,"org":500,"tags":501,"stars":24,"repoUrl":25,"updatedAt":511},"langgraph-docs","build stateful agents with LangGraph","Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[502,503,506,508],{"name":16,"slug":17,"type":14},{"name":504,"slug":505,"type":14},"Documentation","documentation",{"name":507,"slug":32,"type":14},"LangGraph",{"name":509,"slug":510,"type":14},"Multi-Agent","multi-agent","2026-05-13T06:11:03.650877",{"slug":513,"name":513,"fn":514,"description":515,"org":516,"tags":517,"stars":24,"repoUrl":25,"updatedAt":526},"remember","capture knowledge into persistent memory","Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[518,519,520,523],{"name":16,"slug":17,"type":14},{"name":504,"slug":505,"type":14},{"name":521,"slug":522,"type":14},"Knowledge Management","knowledge-management",{"name":524,"slug":525,"type":14},"Memory","memory","2026-05-13T06:10:58.510037",10,{"items":529,"total":644},[530,537,542,549,556,563,570,577,591,601,612,631],{"slug":430,"name":430,"fn":431,"description":432,"org":531,"tags":532,"stars":24,"repoUrl":25,"updatedAt":447},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[533,534,535,536],{"name":436,"slug":437,"type":14},{"name":439,"slug":440,"type":14},{"name":442,"slug":443,"type":14},{"name":445,"slug":446,"type":14},{"slug":449,"name":449,"fn":450,"description":451,"org":538,"tags":539,"stars":24,"repoUrl":25,"updatedAt":458},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[540,541],{"name":439,"slug":440,"type":14},{"name":456,"slug":457,"type":14},{"slug":460,"name":460,"fn":461,"description":462,"org":543,"tags":544,"stars":24,"repoUrl":25,"updatedAt":475},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[545,546,547,548],{"name":466,"slug":467,"type":14},{"name":436,"slug":437,"type":14},{"name":470,"slug":471,"type":14},{"name":473,"slug":474,"type":14},{"slug":477,"name":477,"fn":478,"description":479,"org":550,"tags":551,"stars":24,"repoUrl":25,"updatedAt":488},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[552,553,554,555],{"name":483,"slug":484,"type":14},{"name":436,"slug":437,"type":14},{"name":439,"slug":440,"type":14},{"name":445,"slug":446,"type":14},{"slug":4,"name":4,"fn":5,"description":6,"org":557,"tags":558,"stars":24,"repoUrl":25,"updatedAt":26},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[559,560,561,562],{"name":16,"slug":17,"type":14},{"name":19,"slug":20,"type":14},{"name":9,"slug":8,"type":14},{"name":22,"slug":23,"type":14},{"slug":497,"name":497,"fn":498,"description":499,"org":564,"tags":565,"stars":24,"repoUrl":25,"updatedAt":511},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[566,567,568,569],{"name":16,"slug":17,"type":14},{"name":504,"slug":505,"type":14},{"name":507,"slug":32,"type":14},{"name":509,"slug":510,"type":14},{"slug":513,"name":513,"fn":514,"description":515,"org":571,"tags":572,"stars":24,"repoUrl":25,"updatedAt":526},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[573,574,575,576],{"name":16,"slug":17,"type":14},{"name":504,"slug":505,"type":14},{"name":521,"slug":522,"type":14},{"name":524,"slug":525,"type":14},{"slug":578,"name":578,"fn":579,"description":580,"org":581,"tags":582,"stars":24,"repoUrl":25,"updatedAt":590},"skill-creator","create agent skills and tool integrations","Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[583,584,587],{"name":16,"slug":17,"type":14},{"name":585,"slug":586,"type":14},"Engineering","engineering",{"name":588,"slug":589,"type":14},"Plugin Development","plugin-development","2026-05-13T06:10:59.88449",{"slug":592,"name":592,"fn":593,"description":594,"org":595,"tags":596,"stars":24,"repoUrl":25,"updatedAt":600},"social-media","create optimized social media posts","Create social media posts optimized for engagement across platforms.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[597,598,599],{"name":466,"slug":467,"type":14},{"name":436,"slug":437,"type":14},{"name":473,"slug":474,"type":14},"2026-04-15T05:00:55.37452",{"slug":602,"name":602,"fn":603,"description":604,"org":605,"tags":606,"stars":24,"repoUrl":25,"updatedAt":611},"web-research","conduct and synthesize web research","Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[607,608,609,610],{"name":16,"slug":17,"type":14},{"name":509,"slug":510,"type":14},{"name":439,"slug":440,"type":14},{"name":456,"slug":457,"type":14},"2026-05-13T06:11:04.930044",{"slug":613,"name":613,"fn":614,"description":615,"org":616,"tags":617,"stars":628,"repoUrl":629,"updatedAt":630},"mermaid-diagrams","embed Mermaid diagrams in documentation","Embed Mermaid diagrams in generated wiki pages. Use whenever documenting a runtime or request flow, a call sequence, a state machine or lifecycle, a data model or entity relationships, or non-trivial control flow, since these are clearer as a diagram than as prose. Also use when an update run touches a page that already contains a mermaid fence, or a page that contains a text fence a previous run degraded.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[618,621,622,625],{"name":619,"slug":620,"type":14},"Diagrams","diagrams",{"name":504,"slug":505,"type":14},{"name":623,"slug":624,"type":14},"Markdown","markdown",{"name":626,"slug":627,"type":14},"Technical Writing","technical-writing",12181,"https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Fopenwiki","2026-07-24T06:09:01.089597",{"slug":632,"name":632,"fn":633,"description":634,"org":635,"tags":636,"stars":628,"repoUrl":629,"updatedAt":643},"write-connector","implement OpenWiki source connectors","Add a new built-in OpenWiki source connector. Use when a user asks to create or implement an OpenWiki connector.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[637,640],{"name":638,"slug":639,"type":14},"API Development","api-development",{"name":641,"slug":642,"type":14},"Integrations","integrations","2026-07-18T05:48:23.961804",41]